When a local newsroom of five people has to cover a municipal election, publish in real-time on three platforms, and verify viral videos before sharing them, we touch on what digital journalism demands on a daily basis. The shift to an entirely online presence is not just about putting an article on a website: it reconfigures work rhythms, expected skills, and the relationship with the audience.
AI Act and transparency obligation: what changes concretely in the newsroom
Since August 2, 2026, the EU’s AI Act requires that content generated or heavily manipulated by artificial intelligence for public information purposes be flagged. In practice, this concerns deepfakes, writing chatbots, and any text published without genuine human review.
The European regulation distinguishes between two categories of use. On one hand, editorial assistance does not trigger a mention obligation: spell-checking, automatic translation, assisted summaries. On the other hand, an article produced by AI without real human supervision must carry an explicit mention.
For newsrooms, the challenge is to formalize the boundary between these two categories. Divergent approaches are already observed among major media outlets. The BBC requires human validation before any publication. The Guardian relaxed its doctrine in March 2026 to allow certain limited uses under editorial control. Reuters maintains a model where AI serves as a research assistant with an obligation for independent verification. These editorial resources around cyberjournalisme.net document these developments over time.
For a small newsroom, drafting an internal charter on the use of AI takes time, but it has become an operational necessity in light of this regulatory framework.
Economic model of online press: the question of editorial funding
Producing verified information is expensive. Press publishers have accelerated the development of their digital offerings, but monetization remains the central friction point.
Programmatic advertising vs subscriptions
Online advertising has long been the cornerstone of the free model. The problem: advertising revenues are largely captured by platforms (search engines, social networks), not by the media that produce the content. Publishers find themselves feeding an ecosystem that compensates them poorly.
Digital subscriptions are becoming the preferred lever for newsrooms that bet on editorial quality. The shift to paid content requires a clear value proposition: exclusive investigations, in-depth analysis, formats that readers cannot find elsewhere.
Diversification of formats
The Ministry of Culture notes that the sector is moving towards a multichannel approach. Print coexists with a digital presence on websites and apps, complemented by audio and video formats distributed across various platforms. For a newsroom, this means training journalists in multiple formats or recruiting hybrid profiles.
- News podcasts help retain an audience in a specific thematic niche, with a moderate production cost compared to video.
- Personalized newsletters recreate a direct link with the reader, without relying on a social network’s algorithm.
- Short vertical video formats reach a younger audience but require quick editing skills and an adapted editorial line.
Artificial intelligence in newsrooms: a helpful tool or a risk of dependency
Professionals are increasingly turning to digital tools and artificial intelligence for data collection, information processing, and content distribution. On the ground, feedback varies depending on the newsrooms and the uses deployed.
AI works well for repetitive tasks with low editorial value: transcribing interviews, monitoring social media, generating summaries of long documents. It allows for more time to be freed up for fieldwork and investigation.
The risk arises when AI produces content published without serious human verification. Several recent cases have shown automated articles containing factual errors that went unnoticed. The framework established by the AI Act specifically targets this type of drift.
We can summarize the operational logic as follows: AI accelerates production, but editorial responsibility remains human. A tool that drafts a document does not exempt the journalist from verifying every fact, every quote, every source.
Public trust and verification of online information
The abundance of online content and the rise of social media have changed public expectations. Information is consumed quickly, continuously, and in a fragmented manner. In this context, trust in the media is under pressure.
Civic journalism blurs the line between testimony and verified information. Anyone can publish a video or text that will be picked up by thousands before a journalist has had time to verify the facts. Newsrooms must integrate rapid verification protocols without sacrificing rigor.
Fact-checking tools have proliferated, but they raise questions of methodology:
- Verifying an image or video requires technical skills (geolocation, metadata analysis) that not all newsrooms possess in-house.
- The speed of propagation of false information consistently outpaces that of its correction, necessitating proactive action rather than reactive.
- Transparency about sources and working methods becomes a credibility argument in the face of an increasingly skeptical public.
Digital journalism is not just a technical migration from paper to screen. It raises questions of funding, skills, regulation, and the relationship with the public that renew with each technological evolution. Newsrooms that formalize their practices in the face of AI and invest in verification are the ones that will preserve their credibility in the long term.
